In high growth ecommerce, acquisition often gets the spotlight. But for a rapidly scaling D2C fashion brand operating across UAE and Saudi Arabia, revenue leakage was happening much later in the funnel at checkout.
Despite strong traffic and healthy demand, the brand faced a 34 percent cart abandonment rate during checkout, significantly above regional benchmarks.
Analysis revealed the issue was not product or pricing but payment experience friction and lack of personalization.
The objective was to redesign checkout into a dynamic payment decisioning system capable of:
The final solution introduced a Shopify Functions based Payment Rules Engine designed to personalize payment visibility in real time.
The checkout experience remained static while customer behavior and risk continuously changed.
Cash on Delivery appeared as the default payment method despite increasing customer preference for digital payment options.
All customers had equal payment access regardless of behavioral signals.
The team evaluated:
Amwhiz implemented PayRules using Shopify Functions.
Payment methods were dynamically controlled using:
COD eligibility became conditional.
Restrictions applied to customers with:
Buy Now Pay Later options were prioritized for:
Dynamic restrictions adjusted payment behavior during:
The solution included:
Checkout is no longer simply a final purchase step. It has become a revenue optimization layer that influences conversion, payment quality, and operational efficiency.
By implementing a Shopify Functions based Payment Rules Engine, Amwhiz transformed checkout into a dynamic intelligence system that improved conversion while reducing financial risk.
Amwhiz helps ecommerce brands build scalable checkout optimization systems including:
Email: sales@amwhiz.com
Phone: +91 91500 65500